Abstract: Certain aspects of the present disclosure support a technique for utilizing a memory in probabilistic manner to store information about weights of synapses of a neural network.
Abstract: Techniques are described herein for predicting one or more behaviors by an email recipient and, more specifically, to machine learning techniques for predicting one or more behaviors of an email recipient, changing one or more components in the email to increase the likelihood of a behavior, and determining and/or scheduling an optimal time to send the email. Some advantages of the embodiments disclosed herein may include, without limitation, the ability to predict the behavior of the email recipient and suggest the characteristics of an email which will increase the likelihood of a positive behavior, such as a reading or responding to the email, visiting a website, calling a sales representative, or opening an email attachment.
Type:
Grant
Filed:
September 30, 2014
Date of Patent:
July 28, 2015
Assignee:
InsideSales.com
Inventors:
Xinchuan Zeng, Kalyan Penta, David Randal Elkington